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Remote Downstream Processing Jobs in Virginia (NOW HIRING)

Data Engineer

Mclean, VA · Remote

$142K - $190K/yr

... that downstream scoring and adjudication workflows can trust. This position is remote but will ... Optimize pipeline performance and reliability (throughput, latency, and scalable processing ...

Senior SAR Imagery Scientist

Springfield, VA · Remote

$190K - $235K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... downstream use * Pre-process, standardize, and tile imagery to specified formats and dimensions ... Strong foundation in remote sensing principles and geospatial data processing * Clear communicator ...

Senior SAR Imagery Scientist

Springfield, VA · Remote

$190K - $235K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... downstream use * Pre-process, standardize, and tile imagery to specified formats and dimensions ... Strong foundation in remote sensing principles and geospatial data processing * Clear communicator ...

... systems and processes are applied consistently and effectively across teams. Supervisory ... downstream coordination * Monitor data quality and completeness; identify gaps and work with ...

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Remote Downstream Processing information

What cities in Virginia are hiring for Remote Downstream Processing jobs?

Cities in Virginia with the most Remote Downstream Processing job openings:

Data Engineer

Bigbear.ai

Mclean, VA • Remote

$142K - $190K/yr

Full-time

Posted 6 days ago


Job description

Overview

The Data Engineer builds and maintains the source adapters and normalization logic that translate raw data from disparate systems into a common risk-signal schema. This role focuses on reliable ingestion and transformation—turning heterogeneous legacy inputs (APIs, feeds, databases, files, and event streams) into consistent, high-quality signals that downstream scoring and adjudication workflows can trust.

This position is remote but will require travel in the DMV area.


Responsibilities

  • Build source adapters/connectors to ingest data from APIs, legacy systems, databases, and event streams
  • Develop normalization and mapping logic to translate source-specific fields into the common risk-signal schema (including validation, enrichment, and standardization)
  • Implement ETL/ELT pipelines with strong engineering rigor: testing, observability, error handling, retries, and backfills
  • Produce and consume streaming events (e.g., Kafka topics) to support near-real-time signal delivery and downstream processing
  • Partner with data architecture and domain SMEs to define and maintain data contracts, mappings, and lineage from source to normalized signal
  • Ensure data quality and consistency (deduplication patterns, schema evolution handling, and reconciliation against source systems)
  • Optimize pipeline performance and reliability (throughput, latency, and scalable processing patterns)
  • Create and maintain technical documentation for adapters, transformations, and operational runbooks
  • Some travel may be required within the DMV area

Qualifications

  • Clearance: Must maintain an active Top Secret security clearance
  • Bachelor's Degree and 8 to 10 years of experience; Master's Degree and 6 to 8 years of experience
  • 3–5 years of experience in data engineering, including building production-grade ingestion and transformation pipelines.
  • Strong experience with API integrations and ETL/ELT development in complex environments.
  • Experience integrating heterogeneous and/or legacy systems with inconsistent schemas and data quality.
  • Proficiency in Python or Java for building data services and transformation logic.
  • Solid SQL skills and working familiarity with NoSQL data stores.
  • Experience with REST/API frameworks and building maintainable, well-tested integration services.
  • Hands-on experience producing/consuming events in Kafka (producers/consumers) or an equivalent event streaming platform
  • IC/DoD experience